IJCNN 2017: Anchorage, AK, USA
2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017. IEEE 2017, ISBN 978-1-5090-6182-2
Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and efficient parallelization for probabilistic temporal tensor factorization. 1-8
Mahesh Mohan, Claire Monteleoni:
Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering. 9-16
Aloisio Dourado, Rommel N. Carvalho, Gustavo C. G. van Erven:
Brazil's Bolsa Familia and young adult workers: A parallel RDD approach to large datasets. 17-24
Zhichao Jin, Lili Guo, Daqi Gao:
Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies. 25-30
Anja Kristina Philippsen, René Felix Reinhart, Britta Wrede, Petra Wagner:
Hyperarticulation aids learning of new vowels in a developmental speech acquisition model. 39-45
Ricardo de Azambuja, D. H. Garcia, Martin F. Stoelen, Angelo Cangelosi:
Neurorobotic simulations on the degradation of multiple column liquid state machines. 46-51
Bhargav Teja Nallapu, Bapi Raju Surampudi, Nicolas P. Rougier:
The art of scaling up : A computational account on action selection in basal ganglia. 52-58
Daniel Moreira Cestari, João Luís Garcia Rosa:
Stochastic and deterministic stationarity analysis of EEG data. 63-70
Noura Al Moubayed, Bashar Awwad Shiekh Hasan, Andrew Stephen McGough:
Enhanced detection of movement onset in EEG through deep oversampling. 71-78
Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran:
Investigating the possibility of applying EEG lossy compression to EEG-based user authentication. 79-85

Deyan Tang, Siwang Zhou, Wenjuan Yang, Yonghe Liu:
A two-phase representation based face recognition method with 'random-filtering' virtual samples. 101-107
Olaoluwa Adigun, Bart Kosko:
Using noise to speed up video classification with recurrent backpropagation. 108-115
Tayyar Rzayev, Saber Moradi, David H. Albonesi, Rajit Manohar:
DeepRecon: Dynamically reconfigurable architecture for accelerating deep neural networks. 116-124
Çaglar Gülçehre, Jose Sotelo, Marcin Moczulski, Yoshua Bengio:
A robust adaptive stochastic gradient method for deep learning. 125-132
Peiqi Wang, Zhenyu Liu, Haixia Wang, Dongsheng Wang:
Data-centric computation mode for convolution in deep neural networks. 133-139
Ryotaro Kamimura:
Selective and cooperative potentiality maximization for improving interpretation and generalization. 147-153
Youwei Lu, Shogo Okada, Katsumi Nitta:
Weibull partition models with applications to hidden semi-Markov models. 162-169
Ajin George Joseph, Shalabh Bhatnagar:
A model based search method for prediction in model-free Markov decision process. 170-177
Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Deeply-supervised CNN for prostate segmentation. 178-184
Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
A weighted-resampling based transfer learning algorithm. 185-190
Yang Li, Chengjun Li, Gang Liu, Wei Long:
Fitness with diversity information for selection of evolutionary algorithms. 191-197
Alan William Dougherty, Jane You:
A kernel-based adaptive fuzzy c-means algorithm for M-FISH image segmentation. 198-205
Daniel S. Levine, Kay-Yut Chen, Bakur AlQaudi:
Neural network modeling of business decision making. 206-213

Raymond Noack, Chetan Manjesh, Miklós Ruszinkó, Hava T. Siegelmann, Robert Kozma:
Resting state neural networks and energy metabolism. 228-235
Hugo A. Guillen-Ramirez, José D. Colbes, Carlos A. Brizuela, Israel M. Martínez-Pérez:
Accurate classification of immunomodulatory RNA sequences. 236-241
Arthur Shi, Xiao-Hua Yu:
Structural damage assessment using artificial immune systems and wavelet decomposition. 242-247
Edwin German Maldonado Tavara, Marley M. B. R. Vellasco, Bruno A. C. Horta, Fábio L. Custódio:
Feature importance calculation and protein quality assessment on the decoy discrimination problem. 248-255
Chong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-An Yuan, De-Shuang Huang:
Convex local sensitive low rank matrix approximation. 256-261
Mohammad Maminur Islam, Mohammad Khan Al Farabi, Deepak Venugopal:
Adaptive blocked Gibbs sampling for inference in probabilistic graphical models. 262-269
Giulio Bottegal, Johan A. K. Suykens:
Probabilistic matrix factorization from quantized measurements. 270-277
Fani Tsapeli, Peter Tiño, Mirco Musolesi:
Probabilistic matching: Causal inference under measurement errors. 278-285
Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin:
Bayesian optimization for conditional hyperparameter spaces. 286-293
Alexander Matyasko, Lap-Pui Chau:
Margin maximization for robust classification using deep learning. 300-307
Gaurav Pandey, Ambedkar Dukkipati:
Variational methods for conditional multimodal deep learning. 308-315
Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita:
Deep graph node kernels: A convex approach. 316-323
Noah Lewis, Sergey M. Plis, Vince D. Calhoun:
Cooperative learning: Decentralized data neural network. 324-331
Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
On the characterization of the Oracle for dynamic classifier selection. 332-339
Guangliang Chen, Wilson Florero-Salinas, Dan Li:
Simple, fast and accurate hyper-parameter tuning in Gaussian-kernel SVM. 348-355
Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu:
An output-based knowledge transfer approach and its application in bladder cancer prediction. 356-363
Qinxue Meng, Daniel R. Catchpoole, David Skillicom, Paul J. Kennedy:
Relational autoencoder for feature extraction. 364-371
Dewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian:
Metric learning for multi-instance classification with collapsed bags. 372-379
Fujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu:
First-order causal process for causal modelling with instantaneous and cross-temporal relations. 380-387
Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long:
Universal network representation for heterogeneous information networks. 388-395
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello:
Panoramic background modeling for PTZ cameras with competitive learning neural networks. 396-403
Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Karl Thurnhofer-Hemsi:
Neural controller for PTZ cameras based on nonpanoramic foreground detection. 404-411
Francisco Gomez-Donoso, Alberto Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla:
LonchaNet: A sliced-based CNN architecture for real-time 3D object recognition. 412-418
Xiao-Hu Zhou, Gui-Bin Bian, Xiaoliang Xie, Zeng-Guang Hou, Jian-Long Hao:
Prediction of natural guidewire rotation using an sEMG-based NARX neural network. 419-424
Sergiu Oprea, Alberto Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla:
A recurrent neural network based Schaeffer gesture recognition system. 425-431
Daesik Kim, Myunggi Lee, Nojun Kwak:
Matching video net: Memory-based embedding for video action recognition. 432-438
Matthias Kerzel, Moaaz Ali, Hwei Geok Ng, Stefan Wermter:
Haptic material classification with a multi-channel neural network. 439-446
Jayanta K. Dutta, Bonny Banerjee:
Variation in classification accuracy with number of glimpses. 447-453
Anthony D. Rhodes, Max H. Quinn, Melanie Mitchell:
Fast on-line kernel density estimation for active object localization. 454-462
Allah Bux Sargano, Xiaofeng Wang, Plamen Angelov, Zulfiqar Habib:
Human action recognition using transfer learning with deep representations. 463-469
Yang Lin, Li Yang, Zhouchen Lin, Tong Lin, Hongbin Zha:
Factorization for projective and metric reconstruction via truncated nuclear norm. 470-477
Jing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Xiao Wang, Xianchao Tang:
Robust nonnegative matrix factorization with ordered structure constraints. 478-485
Shudong Huang, Zenglin Xu, Fei Wang:
Nonnegative matrix factorization with adaptive neighbors. 486-493
Xiaokai Wei, Bokai Cao, Philip S. Yu:
Multi-view unsupervised feature selection by cross-diffused matrix alignment. 494-501
Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne:
Deep reward shaping from demonstrations. 510-517
Navid Kardan, Kenneth O. Stanley:
Mitigating fooling with competitive overcomplete output layer neural networks. 518-525
Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Jonathan A. Cox, Craig M. Vineyard, Kristofor D. Carlson, William M. Severa, Conrad D. James, James B. Aimone:
Neurogenesis deep learning: Extending deep networks to accommodate new classes. 526-533
Plamen P. Angelov, Xiaowei Gu, José C. Príncipe:
Fast feedforward non-parametric deep learning network with automatic feature extraction. 534-541
Steven Gutstein, Ethan Stump:
The effects of output codes on transfer learning in a deep convolutional neural net. 542-548
Xiaofeng Ma, Tomojit Ghosh, Michael Kirby:
A sequential simplex algorithm for automatic data and center selecting radial basis functions. 549-556
Fredrik Sandin, Sergio Martin del Campo:
Dictionary learning with equiprobable matching pursuit. 557-564
Jacek Mandziuk, Adam Zychowski, Lipo Wang:
A TCART-M - Tuned CARTesian-based error function for multilabel classification with the MLP. 565-572
Eunelson Jose da Silva Junior, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck, Robert Sabourin, Alessandro L. Koerich:
A two-step cascade classification method. 573-580
Iuri Bonna M. de Abreu, Rafael Gomes Mantovani, Ricardo Cerri:
Incorporating instance correlations in multi-label classification via label-space. 581-588
Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia, Tong Dou:
Social recommendation using Euclidean embedding. 589-595
Dongjing Wang, Guandong Xu, ShuiGuang Deng:
Music recommendation via heterogeneous information graph embedding. 596-603
Ralph Jose Rassweiler Filho, Jonatas Wehrmann, Rodrigo C. Barros:
Leveraging deep visual features for content-based movie recommender systems. 604-611
Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen:
Graph-boosted convolutional neural networks for semantic segmentation. 612-618
Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu:
Link prediction by exploiting network formation games in exchangeable graphs. 619-626
Nikhil Churamani, Matthias Kerzel, Erik Strahl, Pablo V. A. Barros, Stefan Wermter:
Teaching emotion expressions to a human companion robot using deep neural architectures. 627-234
Tiffany Hwu, Jacob Isbell, Nicolas Oros, Jeffrey L. Krichmar:
A self-driving robot using deep convolutional neural networks on neuromorphic hardware. 635-641
Randall Reams, Yoonsuck Choe:
Emergence of tool construction in an articulated limb controlled by evolved neural circuits. 642-649
Petr Cizek, Pavel Milicka, Jan Faigl:
Neural based obstacle avoidance with CPG controlled hexapod walking robot. 650-656
Minkyu Choi, Jun Tani:
Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model. 657-664
Raymond Pavloski, Charles Lamb:
Simulations support the simple hypothesis that persistent coupling of electrochemical activity in recurrent network neurons is an objective signature of visual object unity. 673-680
Weijiang Feng, Naiyang Guan, Yuan Li, Xiang Zhang, Zhigang Luo:
Audio visual speech recognition with multimodal recurrent neural networks. 681-688
Amir Madany Mamlouk, Martin Haker, Thomas Martinetz:
Perception space analysis: From color vision to odor perception. 689-696
A. Ravishankar Rao:
The modulation of synchronization by tuning functions and its effect on multi-sensory perception. 697-704
Frank Hung-Fat Leung, Yuechi Jiang:
Using regularized fisher discriminant analysis to improve the performance of Gaussian supervector in session and device identification. 705-712
Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn, Naeem Radi:
Machine learning approaches to predict learning outcomes in Massive open online courses. 713-720
Paolo Ciancarini, Francesco Poggi, Davide Rossi, Alberto Sillitti:
Analyzing and predicting concurrency bugs in open source systems. 721-728
Christina Klüver, Jürgen Klüver, Dirk Zinkhan:
A self-enforcing neural network as decision support system for air traffic control based on probabilistic weather forecasts. 729-736
Zili Zhou, Guandong Xu, Wenhao Zhu, Jinyan Li, Wu Zhang:
Structure embedding for knowledge base completion and analytics. 737-743
Manoj Sharma, Santanu Chaudhury, Brejesh Lall:
Deep learning based frameworks for image super-resolution and noise-resilient super-resolution. 744-751
Lukas Cavigelli, Pascal Hager, Luca Benini:
CAS-CNN: A deep convolutional neural network for image compression artifact suppression. 752-759
Francois de La Bourdonnaye, Céline Teulière, Thierry Chateau, Jochen Triesch:
Learning of binocular fixations using anomaly detection with deep reinforcement learning. 760-767
Roman Ilin, Thomas Watson, Robert Kozma:
Abstraction hierarchy in deep learning neural networks. 768-774
David Fagan, Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill:
Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment. 775-782
Carlos Villaseñor, Nancy Arana-Daniel, Alma Y. Alanis, Carlos López-Franco:
Hyperellipsoidal neuron. 788-794
Yoshihiro Osakabe, Shigeo Sato, Hisanao Akima, Masao Sakuraba, Mitsunaga Kinjo:
Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution. 803-807
Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin:
Matrix variate RBM model with Gaussian distributions. 808-815
Calin-Adrian Popa:
Complex-valued convolutional neural networks for real-valued image classification. 816-822
Andrii Shalaginov:
Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. 823-830
Shigang Yue, Qinbing Fu:
Modeling direction selective visual neural network with ON and OFF pathways for extracting motion cues from cluttered background. 831-838
Yinyan Zhang, Shuai Li, Xin Luo, Mingsheng Shang:
A dynamic neural controller for adaptive optimal control of permanent magnet DC motors. 839-844
Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi:
Critical echo state network dynamics by means of Fisher information maximization. 852-858
Sadaf Gulshad, Dick Sigmund, Jong-Hwan Kim:
Learning to reproduce stochastic time series using stochastic LSTM. 859-866
Jonathan A. Cox:
Parameter compression of recurrent neural networks and degradation of short-term memory. 867-872
Xiao Huang, Wei Wu, Peijie Yin, Hong Qiao:
Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework. 873-879
Martin J. Loza-Lopez, Tania B. Lopez-Garcia, Riemann Ruiz-Cruz, Edgar N. Sánchez:
Neural control for a microgrid. 880-887
Sebastián Basterrech:
Empirical analysis of the necessary and sufficient conditions of the echo state property. 888-896
Asma ElAdel, Ridha Ejbali, Mourad Zaied, Chokri Ben Amar:
Fast deep neural network based on intelligent dropout and layer skipping. 897-902


Jinming Zhao, Yanyan Xu, Dengfeng Ke, Kaile Su:
Deep neural network bottleneck features for bird species verification. 927-933
Qichuan Yang, Zhiqiang He, Fujiang Ge, Yang Zhang:
Sequence-to-sequence prediction of personal computer software by recurrent neural network. 934-940
Zhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane Beck, Thomas S. Huang:
Image aesthetics assessment using Deep Chatterjee's machine. 941-948

Ernest Fokoué, Lakshmi Ravi, Dhireesha Kudithipudi:
A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanence. 962-967
Yuan Ling, Yuan An, Mengwen Liu, Sadid A. Hasan, Ye-tian Fan, Xiaohua Hu:
Integrating extra knowledge into word embedding models for biomedical NLP tasks. 968-975
Francesco Trovò, Stefano Paladino, Paolo Simone, Marcello Restelli, Nicola Gatti:
Risk-averse trees for learning from logged bandit feedback. 976-983
Silas Evandro Nachif Fernandes, João Paulo Papa:
Pruning optimum-path forest ensembles using quaternion-based optimization. 984-991
Shaoyi Liang, Deqiang Han, Lei Zhang, Qinke Peng:
A novel clustering oriented closeness measure based on neighborhood chain. 997-1004

Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
A partial labeling framework for multi-class imbalanced streaming data. 1018-1025
Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Class representative autoencoder for low resolution multi-spectral gender classification. 1026-1033
Felipe Duque Belfort, Hansenclever F. de Bassani, Aluizio F. R. Araujo:
Online incremental supervised growing neural gas. 1034-1040
Changde Du, Changying Du, Huiguang He:
Sharing deep generative representation for perceived image reconstruction from human brain activity. 1049-1056
Bruno Miguel Nogueira de Souza, Jacques Facon, David Menotti:
Colorness index strategy for pixel fire segmentation. 1057-1063
Peifeng Liang, Weite Li, Donghang Liu, Jinglu Hu:
Large-scale image classification using fast SVM with deep quasi-linear kernel. 1064-1071



Lynn Houthuys, Zahra Karevan, Johan A. K. Suykens:
Multi-view LS-SVM regression for black-box temperature prediction in weather forecasting. 1102-1108
Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker:
Efficient global network learning from local reconstructions. 1117-1124
Zhenghao Chen, Jianlong Zhou, Xiuying Wang, Jeremy Swanson, Fang Chen, Dagan Feng:
Neural net-based and safety-oriented visual analytics for time-spatial data. 1133-1140
Alexandros Iosifidis, Moncef Gabbouj:
Class-specific kernel discriminant analysis based on Cholesky decomposition. 1141-1146
Mohammad Amir Sharif, Vijay V. Raghavan:
Link prediction based hybrid recommendation system using user-page preference graphs. 1147-1154
Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Xiaoli Bai, Jia Li:
Optimize collapsed Gibbs sampling for biterm topic model by alias method. 1155-1162
Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano, Shigeru Kubota, Shigeo Sato:
Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network models. 1163-1168
Dawei Gong, Zhiwen Zhang, Xiaolin Dai, Jinliang Song, Bonan Huang:
Synchronization analysis for complex networks with interval delay via non-fragile pinning control. 1169-1173
Bo Zhang, Hua Zhou, Liwei Wang, Chul Sung:
Classification based on neuroimaging data by tensor boosting. 1174-1179
Wen-Ran Zhang:
Programming the mind and decrypting the universe - A bipolar quantum-neuro-fuzzy associative memory model for quantum cognition and quantum intelligence. 1180-1187
Jasmine A. Berry, Robert Ritter, Akira Nagamori, Francisco J. Valero Cuevas:
The neural control of movement must contend with trajectory-specific and nonlinearly distorted manifolds of afferent muscle spindle activity. 1188-1194
Bruno Tailie, Michaël Garcia Ortiz:
Separating inference from feature learning in deep unsupervised visual saliency estimation. 1195-1201
Rakib Al-Fahad, Mohammed Yeasin, A. S. M. Iftekhar Anam, Bahareh Elahian:
Selection of stable features for modeling 4-D affective space from EEG recording. 1202-1209
Haotian Xu, Lingyu Xu:
Multi-label feature selection algorithm based on label pairwise ranking comparison transformation. 1210-1217
Masatoshi Yamaguchi, Hakaru Tamukoh, Hideyuki Suzuki, Takashi Morie:
A CMOS chaotic Boltzmann machine circuit and three-neuron network operation. 1218-1224
Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang:
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. 1230-1236
Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris:
Deep learning based nonlinear principal component analysis for industrial process fault detection. 1237-1243
Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardiña:
Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm. 1244-1251
Johan Isaksson, Ida Arvidsson, Kalle Åström, Anders Heyden:
Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN. 1252-1256
Sri Harsha Dumpala, Sunil Kumar Kopparapu:
Improved speaker recognition system for stressed speech using deep neural networks. 1257-1264
Can Wang, Qiudan Li, Lei Wang, Daniel Dajun Zeng:
Incorporating message embedding into co-factor matrix factorization for retweeting prediction. 1265-1272
SeyedHamid Shekarforoush, Robert Green, Robert Dyer:
Classifying commit messages: A case study in resampling techniques. 1273-1280
Mingzhao Hu, Yifei Zhang, N. Maritza Dowling:
An analysis of factors predicting memory loss in Alzheimer's disease prevention. 1281-1288
Shaokai Wang, Xutao Li, Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du:
A generative model with hypergraph regularizers for protein function prediction. 1289-1296
Cosimo Ieracitano, Jonas Duun-Henriksen, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito:
Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients. 1297-1304
Satoru Ishikawa, Jorma Laaksonen, Juha Karhunen:
Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map. 1305-1312
B. N. Sumukha, R. Chandan Kumar, Skanda S. Bharadwaj, Koshy George:
Online peak detection in photoplethysmogram signals using sequential learning algorithm. 1313-1320
Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang:
Cross-validated smooth multi-instance learning. 1321-1325
Fabian Sachara, Finn Handmann, Nico Cremer, Thomas Kopinski, Alexander Gepperth, Uwe Handmann:
A large-scale multi-pose 3D-RGB object database. 1326-1332
Yuntao Liao, Kazushige Koiwai, Toru Yamamoto:
Design of a hierarchical-clustering CMAC-PID controller. 1333-1338
Yongliang Yang, Donald Wunsch, Yixin Yin:
Hamiltonian-driven adaptive dynamic programming for nonlinear discrete-time dynamic systems. 1339-1346
Yufei Tang, Chaoxu Mu, Haibo He:
Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control. 1347-1353
Raquel Almeida, Zenilton Kleber Gonçalves do Patrocínio Jr., Silvio Jamil Ferzoli Guimarães:
Exploring quantization error to improve human action classification. 1354-1360
Ankit Rajpal, Anurag Mishra, Rajni Bala:
Fast digital watermarking of uncompressed colored images using bidirectional extreme learning machine. 1361-1366
Yao Miao, Jianting Cao:
Comparison of EMD, MEMD and 2T-EMD by analyzing standard artificial signals and EEG. 1367-1371
Unaiza Ahsan, Munmun De Choudhury, Irfan A. Essa:
Towards using visual attributes to infer image sentiment of social events. 1372-1379
Qiubin Liang, Wenge Rong, Jiayi Zhang, Jingshuang Liu, Zhang Xiong:
Restricted Boltzmann machine based stock market trend prediction. 1380-1387
Hayley Beltz, Aniko Fulop, Raoul R. Wadhwa, Péter Érdi:
From ranking and clustering of evolving networks to patent citation analysis. 1388-1394
Yiming Li, Baogang Wei, Liang Yao, Hui Chen, Zherong Li:
Knowledge-based document embedding for cross-domain text classification. 1395-1402
Weizheng Chen, Chi Liu, Jun Yin, Hongfei Yan, Yan Zhang:
Mining E-commercial data: A text-rich heterogeneous network embedding approach. 1403-1410
Zheng Wang, Irena Koprinska:
Solar power prediction with data source weighted nearest neighbors. 1411-1418
David M. Q. Nelson, Adriano C. M. Pereira, Renato A. de Oliveira:
Stock market's price movement prediction with LSTM neural networks. 1419-1426
Sana Siddiqui, Muhammad Salman Khan, Ken Ferens:
Multiscale Hebbian neural network for cyber threat detection. 1427-1434
Xuan Peng, Xunzhang Gao, Xiang Li:
An infinite classification RBM model for radar HRRP recognition. 1442-1448
Xiaoli Liu, Chun-Yi Su:
FNN approximation-based adaptive control for suppressing chatter in nonlinear milling with piezo-actuators. 1449-1456
Brandon Conn, Ognjen Arandjelovic:
Towards computer vision based ancient coin recognition in the wild - Automatic reliable image preprocessing and normalization. 1457-1464
Chandranath Adak, Bidyut B. Chaudhuri, Michael Blumenstein:
Impact of struck-out text on writer identification. 1465-1471
Dinart Duarte Braga, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Neural network nonlinear plant identification as a tool in intelligent controller design. 1472-1479
Yufei Tang, Jun Yang:
Dynamic event monitoring using unsupervised feature learning towards smart grid big data. 1480-1487
Deqing Zhai, Yeng Chai Soh:
Balancing indoor thermal comfort and energy consumption of air-conditioning and mechanical ventilation systems via sparse Firefly algorithm optimization. 1488-1494
Jiehong Wu, Liangkai Zou, Xiang Li, Zhaokui Li, Liu Yang:
Study for ELM-based recognition of fold structure aiming at remote sensing image. 1495-1501
Fei Lin, Shihua Wang, Jian Jiang, Weidi Fan, Yong Sun:
Predicting public bicycle rental number using multi-source data. 1502-1509
Zengmao Wang, Bo Du, Lefei Zhang:
Multi-class active learning: A hybrid informative and representative criterion inspired approach. 1510-1517
Seiya Satoh, Hiroshi Yamakawa:
Incremental extraction of high-dimensional equivalence structures. 1518-1524
Chun-Yi Liu, Chuan Zhou, Jia Wu, Hongtao Xie, Yue Hu, Li Guo:
CPMF: A collective pairwise matrix factorization model for upcoming event recommendation. 1532-1539
Xinyi Zhang, Guotao Hui, Qiang Gao, Xiaoya Ren, Bowen Zhou, Dongsheng Yang, Yingjiao Bi:
A multi-object optimization model of electricity fee payment site selection based on multiple payment methods. 1540-1546
Michele Valenti, Stefano Squartini, Aleksandr Diment, Giambattista Parascandolo, Tuomas Virtanen:
A convolutional neural network approach for acoustic scene classification. 1547-1554
Zixing Zhang, Felix Weninger, Martin Wöllmer, Jing Han, Björn W. Schuller:
Towards intoxicated speech recognition. 1555-1559
Johanna Bohm, Florian Eyben, Maximilian Schmitt, Harald Kosch, Björn W. Schuller:
Seeking the SuperStar: Automatic assessment of perceived singing quality. 1560-1569
Zhiguang Wang, Weizhong Yan, Tim Oates:
Time series classification from scratch with deep neural networks: A strong baseline. 1578-1585
Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade:
Stacked deep convolutional auto-encoders for emotion recognition from facial expressions. 1586-1593
Sergio Escalera, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon:
ChaLearn looking at people: A review of events and resources. 1594-1601
Enrique Romero:
Benchmarking the selection of the hidden-layer weights in extreme learning machines. 1607-1614
Roozbeh Razavi-Far, Mehrdad Saif, Vasile Palade, Enrico Zio:
Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors. 1615-1622
Yonghua Yin, Lan Wang, Erol Gelenbe:
Multi-layer neural networks for quality of service oriented server-state classification in cloud servers. 1623-1627
Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa:
t-Distributed stochastic neighbor embedding spectral clustering. 1628-1632
Adham Atyabi, Beibin Li, Amy Yeo-jin Ahn, Minah Kim, Erin Barney, Frederick Shic:
An exploratory analysis targeting diagnostic classification of AAC app usage patterns. 1633-1640
A. Ravishankar Rao, Daniel Clarke:
An open-source framework for the interactive exploration of Big Data: Applications in understanding health care. 1641-1648
Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Marono:
Machine learning models to search relevant genetic signatures in clinical context. 1649-1656
Vinay Vittal Karagod, Kaushik Sinha:
A novel machine learning framework for phenotype prediction based on genome-wide DNA methylation data. 1657-1664
Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown:
Exploring the consequences of distributed feature selection in DNA microarray data. 1665-1672
Luisa Sánchez Brea, Noelia Barreira-Rodríguez, Antonio Mosquera González, Katharine Evans:
Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva. 1673-1680
Ashley Varghese, Jayavardhana Gubbi, Hrishikesh Sharma, P. Balamuralidhar:
Power infrastructure monitoring and damage detection using drone captured images. 1681-1687
Daniel Cook, Andrew Vardy:
Towards real-time robot simulation on uneven terrain using neural networks. 1688-1695
Chris Yakopcic, Md. Zahangir Alom, Tarek M. Taha:
Extremely parallel memristor crossbar architecture for convolutional neural network implementation. 1696-1703
Chris Yakopcic, Shu Wang, Weisong Wang, Eunsung Shin, Guru Subramanyam, Tarek M. Taha:
Methods for high resolution programming in lithuim niobate memristors for neuromorphic hardware. 1704-1708
Milla S. A. Ferro, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho:
Non-negative pyramidal neural network for parts-based learning. 1709-1716
Hsiao-Tien Fan, Wei Wang, Zhanpeng Jin:
Performance optimization of echo state networks through principal neuron reinforcement. 1717-1723
Qinxue Meng, Jia Wu, John T. Ellis, Paul J. Kennedy:
Dynamic island model based on spectral clustering in genetic algorithm. 1724-1731
Giacomo Boracchi, Cristiano Cervellera, Danilo Macciò:
Uniform histograms for change detection in multivariate data. 1732-1739
Muhammad Umer, Robi Polikar, Christopher Frederickson:
LEVELIW: Learning extreme verification latency with importance weighting. 1740-1747
Sascha Saralajew, Thomas Villmann:
Transfer learning in classification based on manifolc. models and its relation to tangent metric learning. 1756-1765
Dali Zhu, Na Pang, Gang Li, Shaowu Liu:
NotiFi: A ubiquitous WiFi-based abnormal activity detection system. 1766-1773
Dong Li, Dongbin Zhao, Qichao Zhang, Chaomin Luo:
Policy gradient methods with Gaussian process modelling acceleration. 1774-1779
Cesare Alippi, Viviana D'Alto, Mirko Falchetto, Danilo Pau, Manuel Roveri:
Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation. 1780-1786
So Yahata, Tetsu Onishi, Kanta Yamaguchi, Seiichi Ozawa, Jun Kitazono, Takenao Ohkawa, Takeshi Yoshida, Noriyuki Murakami, Hiroyuki Tsuji:
A hybrid machine learning approach to automatic plant phenotyping for smart agriculture. 1787-1793
Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Shangbo Mao, Guang-Bin Huang:
A theoretical study of the relationship between an ELM network and its subnetworks. 1794-1801
Philip de Chazal, Mark D. McDonnell:
Regularized training of the extreme learning machine using the conjugate gradient method. 1802-1808
Yoshitaka Itoh, Masaharu Adachi:
Reconstruction of bifurcation diagrams using an extreme learning machine with a pruning algorithm. 1809-1816
Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse:
A low-dimensional vector representation for words using an extreme learning machine. 1817-1822
Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou:
Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes. 1823-1830
Takashi Matsubara:
Spike timing-dependent conduction delay learning model classifying spatio-temporal spike patterns. 1831-1839
Laxmi R. Iyer, Arindam Basu:
Unsupervised learning of event-based image recordings using spike-timing-dependent plasticity. 1840-1846
Gopalakrishnan Srinivasan, Sourjya Roy, Vijay Raghunathan, Kaushik Roy:
Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks. 1847-1854
Gustavo Botelho de Souza, Daniel F. S. Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João Paulo Papa:
Deep Boltzmann machines for robust fingerprint spoofing attack detection. 1863-1870
Robin Nix, Jian Zhang:
Classification of Android apps and malware using deep neural networks. 1871-1878
Dick Sigmund, Gyeong-Moon Park, Jong-Hwan Kim:
Context preference-based deep adaptive resonance theory: Integrating user preferences into episodic memory encoding and retrieval. 1879-1886
Michael Potter, Leon Reznik, Stanislaw P. Radziszowski:
Neural networks and the search for a quadratic residue detector. 1887-1894
Hong Hui Tan, King Hann Lim, Hendra Gunawan Harno:
Stochastic diagonal approximate greatest descent in neural networks. 1895-1898
Aleksandar Botev, Guy Lever, David Barber:
Nesterov's accelerated gradient and momentum as approximations to regularised update descent. 1899-1903
B. Chandra, Rajesh Kumar Sharma:
On improving recurrent neural network for image classification. 1904-1907
Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles:
Incremental learning with the minimum description length principle. 1908-1915
Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Kärkkäinen, Jaakko Hollmén:
BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. 1916-1923
Md. Asafuddoula, Brijesh Verma, Mengjie Zhang:
An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. 1924-1931
Skanda S. Bharadwaj, R. Chandan Kumar, B. N. Sumukha, Koshy George:
Pattern classification with meta-cognition and online sequential learning algorithm. 1932-1939
Oliver Wallscheid, Wilhelm Kirchgassner, Joachim Böcker:
Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors. 1940-1947
Henry Wing Fung Yeung, Jiaxi Li, Yuk Ying Chung:
Improved performance of face recognition using CNN with constrained triplet loss layer. 1948-1955
Jiaxi Li, Guang Liu, Henry Wing Fung Yeung, Junfu Yin, Yuk Ying Chung, XiaoMing Chen:
A novel stacked denoising autoencoder with swarm intelligence optimization for stock index prediction. 1956-1961
Raka Jovanovic, Luis M. Pomares, Yasir E. Mohieldeen, Daniel Perez-Astudillo, Dunia Bachour:
An evolutionary method for creating ensembles with adaptive size neural networks for predicting hourly solar irradiance. 1962-1967
Mahmood Yousefi-Azar, Mark D. McDonnell:
Semi-supervised convolutional extreme learning machine. 1968-1974
Zhen Liu, Deyu Tang, Jincheng Li, Ruoyu Wang:
Objective cost-sensitive-boosting-WELM for handling multi class imbalance problem. 1975-1982
Jin-Man Park, Jong-Hwan Kim:
Online recurrent extreme learning machine and its application to time-series prediction. 1983-1990
Julio J. Valdés, Catherine Cheung, Alejandro Lehman Rubio:
Extreme learning machines to approximate low dimensional spaces for helicopter load signal and fatigue life estimation. 1991-1998
Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu:
Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. 1999-2006
Yingyezhe Jin, Peng Li:
Calcium-modulated supervised spike-timing-dependent plasticity for readout training and sparsification of the liquid state machine. 2007-2014
Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan Galiardi, Conrad D. James, James B. Aimone:
Optimization-based computation with spiking neurons. 2015-2022
Amirhossein Tavanaei, Anthony S. Maida:
Multi-layer unsupervised learning in a spiking convolutional neural network. 2023-2030
Yuqian Zhou, Bertram E. Shi:
Action unit selective feature maps in deep networks for facial expression recognition. 2031-2038
Markus Eisenbach, Ronny Stricker, Daniel Seichter, Karl Amende, Klaus Debes, Maximilian Sesselmann, Dirk Ebersbach, Ulrike Stoeckert, Horst-Michael Gross:
How to get pavement distress detection ready for deep learning? A systematic approach. 2039-2047
Juarez Monteiro, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi:
Deep neural networks for kitchen activity recognition. 2048-2055
Jie Liu, Xingkun Gao, Nianyuan Bao, Jie Tang, Gangshan Wu:
Deep convolutional neural networks for pedestrian detection with skip pooling. 2056-2063
Yazhou Ren, Peng Zhao, Zenglin Xu, Dezhong Yao:
Balanced self-paced learning with feature corruption. 2064-2071
Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström:
Model-agnostic nonconformity functions for conformal classification. 2072-2079
Davide Bacciu, Francesco Crecchi, Davide Morelli:
DropIn: Making reservoir computing neural networks robust to missing inputs by dropout. 2080-2087

Yunwen Xu, Rui Xu, Weizhong Yan, Paul Ardis:
Concept drift learning with alternating learners. 2104-2111
Bartosz Krawczyk, Michal Wozniak:
Online query by committee for active learning from drifting data streams. 2120-2127
Chenghao Cai, Dengfeng Ke, Yanyan Xu, Kaile Su:
Symbolic manipulation based on deep neural networks and its application to axiom discovery. 2136-2143
Brij Mohan Lal Srivastava, Hari Krishna Vydana, Anil Kumar Vuppala, Manish Shrivastava:
Significance of neural phonotactic models for large-scale spoken language identification. 2144-2151
Moirangthem Dennis Singh, Minho Lee:
Temporal hierarchies in multilayer gated recurrent neural networks for language models. 2152-2157
Xiang Zhang, Wenge Rong, Jingshuang Liu, Chuan Tian, Zhang Xiong:
Convolution neural network based syntactic and semantic aware paraphrase identification. 2158-2163
Yuanzhi Ke, Masafumi Hagiwara:
Alleviating overfitting for polysemous words for word representation estimation using lexicons. 2164-2170
Amr M. Hassan, Hai Helen Li, Yiran Chen:
Hardware implementation of echo state networks using memristor double crossbar arrays. 2171-2177
Matthew Dale, Susan Stepney, Julian F. Miller, Martin Trefzer:
Reservoir computing in materio: A computational framework for in materio computing. 2178-2185
Cory E. Merkel:
Design of a time delay reservoir using stochastic logic: A feasibility study. 2186-2192
Wei Wang, Hsiao-Tien Fan, Zhanpeng Jin:
Structure optimization of dynamic reservoir ensemble using genetic algorithm. 2193-2200
Luca Pasa, Alessandro Sperduti, Peter Tiño:
Linear dynamical based models for sequential domains. 2201-2208
Mihai A. Petrovici, Anna Schroeder, Oliver Breitwieser, Andreas Grübl, Johannes Schemmel, Karlheinz Meier:
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. 2209-2216
Johannes Schemmel, Laura Kriener, Paul Müller, Karlheinz Meier:
An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites. 2217-2226
Sebastian Schmitt, Johann Klähn, Guillaume Bellec, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert A. Legenstein, Wolfgang Maass, Christian Mayr, René Schüffny, Johannes Schemmel, Karlheinz Meier:
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. 2227-2234
Ramin M. Hasani, Dieter Haerle, Christian F. Baumgartner, Alessio R. Lomuscio, Radu Grosu:
Compositional neural-network modeling of complex analog circuits. 2235-2242
Amarnath Mahadevuni, Peng Li:
Navigating mobile robots to target in near shortest time using reinforcement learning with spiking neural networks. 2243-2250
Mohammadhani Fouladgar, Mostafa Parchami, Ramez Elmasri, Amir Ghaderi:
Scalable deep traffic flow neural networks for urban traffic congestion prediction. 2251-2258
Chester V. Dolph, Mahbubul Alam, Zeina A. Shboul, Manar D. Samad, Khan M. Iftekharuddin:
Deep learning of texture and structural features for multiclass Alzheimer's disease classification. 2259-2266
Juarez Monteiro, João Paulo Aires, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi:
Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks. 2267-2274
Adam M. Terwilliger, Gabriel N. Perdue, David Isele, Robert M. Patton, Steven R. Young:
Vertex reconstruction of neutrino interactions using deep learning. 2275-2281
Shicong Liu, Hongtao Lu:
Learning deep representations with diode loss for quantization-based similarity search. 2282-2289
Muhammad Salman Khan, Sana Siddiqui, Ken Ferens:
Using information fractal dimension as temperature in restricted Boltzmann Machine. 2290-2297
Vipul Arora, Laxmidhar Behera, Tharun Kumar Reddy, Ajay Pratap Yadav:
HJB equation based learning scheme for neural networks. 2298-2305
Liang Liao, Stephen John Maybank, Yanning Zhang, Xin Liu:
Supervised classification via constrained subspace and tensor sparse representation. 2306-2313
Jinghao Yan, Shijin Yuan, Junhui Zhao, Bin Mu:
Parallel dynamic search fireworks algorithm with linearly decreased dimension number strategy for solving conditional nonlinear optimal perturbation. 2314-2321
Nima Mohajerin, Steven Lake Waslander:
State initialization for recurrent neural network modeling of time-series data. 2330-2337
Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara:
A framework for benchmarking machine learning methods using linear models for univariate time series prediction. 2338-2345
Takumi Ichimura, Shin Kamada:
Adaptive learning method of recurrent temporal deep belief network to analyze time series data. 2346-2353
Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia:
ℓ2-type regularization-based unsupervised anomaly detection from temporal data. 2354-2361
Blanca Maria Priego Torres, Abraham Prieto, Richard J. Duro, Jocelyn Chanussot:
Spatio-temporal cellular automata-based filtering for image sequence denoising. 2362-2369
Shiyao Wang, Zhidong Deng:
Tightly-coupled convolutional neural network with spatial-temporal memory for text classification. 2370-2376
Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, Erik Cambria:
Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. 2377-2383
Jonatas Wehrmann, Willian Becker, Henry E. L. Cagnini, Rodrigo C. Barros:
A character-based convolutional neural network for language-agnostic Twitter sentiment analysis. 2384-2391
Xiaojia Pu, Gangshan Wu, Chunfeng Yuan:
Sentiment analysis with the exploration of overall opinion sentences. 2392-2399
Pengfei Liu, King Keung Wu, Helen M. Meng:
A model of extended paragraph vector for document categorization and trend analysis. 2400-2406
Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar:
Photonic reservoir computer with output feedback for chaotic time series prediction. 2407-2413
Nicholas Soures, Lydia Hays, Dhireesha Kudithipudi:
Robustness of a memristor based liquid state machine. 2414-2420
Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone:
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. 2421-2428
Nathan McDonald:
Reservoir computing & extreme learning machines using pairs of cellular automata rules. 2429-2436
Igor Farkas, Peter Gergel:
Maximizing memory capacity of echo state networks with orthogonalized reservoirs. 2437-2442
Tae Seung Kang, Arunava Banerjee:
Learning deterministic spiking neuron feedback controllers. 2443-2450
Surya Narayanan, Ali Shafiee, Rajeev Balasubramonian:
INXS: Bridging the throughput and energy gap for spiking neural networks. 2451-2459
Chamika M. Liyanagedera, Parami Wijesinghe, Akhilesh Jaiswal, Kaushik Roy:
Image segmentation with stochastic magnetic tunnel junctions and spiking neurons. 2460-2468
Michael Stiber, Fumitaka Kawasaki, Delmar B. Davis, Hazeline U. Asuncion, Jewel Yun-Hsuan Lee, Destiny Boyer:
BrainGrid+Workbench: High-performance/high-quality neural simulation. 2469-2476
Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Generalized model of biological neural networks: Progressive operational perceptrons. 2477-2485
Boris Knyazev, Erhardt Barth, Thomas Martinetz:
Recursive autoconvolution for unsupervised learning of convolutional neural networks. 2486-2493
Xi Chen, Xiaolin Hu, Hucheng Zhou, Ningyi Xu:
FxpNet: Training a deep convolutional neural network in fixed-point representation. 2494-2501
Niange Yu, Shi Qiu, Xiaolin Hu, Jianmin Li:
Accelerating convolutional neural networks by group-wise 2D-filter pruning. 2502-2509
Kodai Ueyoshi, Kota Ando, Kentaro Orimo, Masayuki Ikebe, Tetsuya Asai, Masato Motomura:
Exploring optimized accelerator design for binarized convolutional neural networks. 2510-2516
Seunghyeon Kim, Wooyoung Kim, Yung-Kyun Noh, Frank Chongwoo Park:
Transfer learning for automated optical inspection. 2517-2524
Konrad Zolna:
Improving the performance of neural networks in regression tasks using drawering. 2533-2538
Felipe Kenji Nakano, Walter José G. S. Pinto, Gisele Lobo Pappa, Ricardo Cerri:
Top-down strategies for hierarchical classification of transposable elements with neural networks. 2539-2546
Hande Alemdar, Vincent Leroy, Adrien Prost-Boucle, Frédéric Pétrot:
Ternary neural networks for resource-efficient AI applications. 2547-2554
Daniel Lückehe, Stefan Oehmcke, Oliver Kramer:
Manifold learning with iterative dimensionality photo-projection. 2555-2561
Ryotaro Kamimura:
Potential layer-wise supervised learning for training multi-layered neural networks. 2568-2575
Hamid Khodabandehlou, Mohammad Sami Fadali:
A quotient gradient method to train artificial neural networks. 2576-2581
Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Jia Li:
ABiRCNN with neural tensor network for answer selection. 2582-2589
Dongsheng Guo, Aifen Li, Xinjie Lin, Feng Xu, Zhaozhu Su:
Three-step DTZNN algorithm for time-varying linear matrix inequality solving. 2590-2595
Arthur Jack Russell, Emmanouil Benetos, Artur S. d'Avila Garcez:
On the memory properties of recurrent neural models. 2596-2603
Alessandra Santana, Alessandra Marli M. Morais, Marcos G. Quiles:
An alternative approach for binary and categorical self-organizing maps. 2604-2610
Bradley Harding, Marc-Andre Goulet, Denis Cousineau, Sylvain Chartier:
Are recurrent associative memories good models of decision making? Modelling discrimination decisions from different perspectives. 2621-2628
Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy:
EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks. 2629-2635
Catherine D. Schuman:
The effect of biologically-inspired mechanisms in spiking neural networks for neuromorphic implementation. 2636-2643
Ashley A. Prater:
Comparison of echo state network output layer classification methods on noisy data. 2644-2651
Farzaneh S. Fard, Paul Hollensen, Stuart Mcilory, Thomas P. Trappenberg:
Impact of biased mislabeling on learning with deep networks. 2652-2657
Monit Shah Singh, Vinaychandran Pondenkandath, Bo Zhou, Paul Lukowicz, Marcus Liwicki:
Transforming sensor data to the image domain for deep learning - An application to footstep detection. 2665-2672
Yuki Kominami, Hideki Ogawa, Kazuyuki Murase:
Convolutional neural networks with multi-valued neurons. 2673-2678
Angshul Majumdar, Vanika Singhal:
Noisy deep dictionary learning: Application to Alzheimer's Disease classification. 2679-2683
Hidenori Ide, Takio Kurita:
Improvement of learning for CNN with ReLU activation by sparse regularization. 2684-2691
Mohammed Yeasin, Faruk Ahmed:
Optimization and evaluation of deep architectures for ambient awareness on a sidewalk. 2692-2697

Lizhen Dai, Gang Yang, Hui Yang, Rongxiu Lu:
A neuron-output-significant-index-based self-organization pruning algorithm for S-LINN. 2708-2715
Shengyang Luan, Tianshuang Qiu, José C. Príncipe:
Adaptive filtering based on extended kernel recursive maximum correntropy. 2716-2722
Fouad Slimane, Andrea Mazzei, Orlin Topalov, Greta Verzi, Frédéric Kaplan:
A web-based tool for segmentation and automatic transcription of historical documents. 2730-2737
Caleb Nelson, Yulo Leake, Brian Hutchinson:
Low n-rank tensor log-linear models for classification. 2738-2742
Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Jade Hind, Naeem Radi:
Machine learning approaches for the prediction of obesity using publicly available genetic profiles. 2743-2750
Danillo Roberto Pereira, João P. Papa, André N. de Souza:
FEMaR: A finite element machine for regression problems. 2751-2757
Aneesh Sreevallabh Chivukula, Wei Liu:
Adversarial learning games with deep learning models. 2758-2767
Robert Keight, Dhiya Al-Jumaily, Abir Jaafar Hussain, Mohammed Al-Jumeily, Conor Mallucci:
Towards the discrimination of primary and secondary headache: An intelligent systems approach. 2768-2775
Sriparna Saha, Rimita Lahiri, Amit Konar, Bonny Banerjee, Atulya K. Nagar:
HMM-based gesture recognition system using kinect sensor for improvised human-computer interaction. 2776-2783
Rui Zhang, Feiping Nie, Xuelong Li:
Projected clustering via robust orthogonal least square regression with optimal scaling. 2784-2791
Rodrigo C. de Araujo, Francisco de A. T. de Carvalho, Yves Lechevallier:
Multi-view hard c-means with automated weighting of views and variables. 2792-2799
Bruno A. Pimentel, Marcilio C. P. de Souto, Renata M. C. R. de Souza:
Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy. 2800-2804
Wei Hong Chin, Azhar Aulia Saputra, Naoyuki Kubota:
A neuro-based network for on-line topological map building and dynamic path planning. 2805-2810
George D. Montanez, Cosma Rohilla Shalizi:
The LICORS cabinet: Nonparametric light cone methods for spatio-temporal modeling. 2811-2819
Seaar Al Dabooni, Donald Wunsch:
Mobile robot control based on hybrid neuro-fuzzy value gradient reinforcement learning. 2820-2827
Zhen Ni, Naresh Malla, Xiangnan Zhong:
Towards enabling deep learning techniques for adaptive dynamic programming. 2828-2835


Prabhash Kumarasinghe, Sundaram Suresh:
OMKT: Projection based bounded on-line multiple kernel tracker. 2857-2864
Di Wu, Nabin Sharma, Michael Blumenstein:
Recent advances in video-based human action recognition using deep learning: A review. 2865-2872
Md. Zahangir Alom, Mahbubul Alam, Tarek M. Taha, Khan M. Iftekharuddin:
Object recognition using cellular simultaneous recurrent networks and convolutional neural network. 2873-2880
Zhengda Qin, Badong Chen, Nanning Zheng:
Random fourier feature kernel recursive least squares. 2881-2886
Ardavan Salehi Nobandegani, Jad Kabbara, Ioannis N. Psaromiligkos:
Relevance effect: Exploiting Bayesian networks to improve supervised learning. 2887-2893
Gaurav Goswami, Richa Singh, Mayank Vatsa, Angshul Majumdar:
Kernel group sparse representation based classifier for multimodal biometrics. 2894-2901
Noel Khan, David A. Elizondo, Benjamin N. Passow, Pamela A. Hardaker:
Pose invariance through registration for hierarchical feature based pattern recognition systems. 2902-2910
Felipe Gustavo Silva Teodoro, Sarajane Marques Peres, Clodoaldo Ap. M. Lima:
Feature selection for biometrie recognition based on electrocardiogram signals. 2911-2920
Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik:
EMNIST: Extending MNIST to handwritten letters. 2921-2926
Omid Keivani, Kaushik Sinha, Parikshit Ram:
Improved maximum inner product search with better theoretical guarantees. 2927-2934
Erxue Min, Yawei Zhao, Jun Long, Chengkun Wu, Kuan Li, Jianping Yin:
SVRG with adaptive epoch size. 2935-2942
Pouya Bashivan, Mohammed Yeasin, Gavin M. Bidelman:
Temporal progression in functional connectivity determines individual differences in working memory capacity. 2943-2949
Jefferson Tales Oliva, João Luís Garcia Rosa:
The use of one-class classifiers for differentiating healthy from epileptic EEG segments. 2956-2963
Gokhan Kaya, Arunava Banerjee:
Signal coding and reconstruction using deterministic spiking neurons. 2964-2970
Hao Yan, Chuanzhu Sun, Xiaocui Wang, Lijun Bai:
Deteriorating neural connectivity of the hippocampal episodic memory network in mTBI patients: A cohort study. 2979-2986
Khuong N. Nguyen, Yoonsuck Choe:
Dynamic control using feedforward networks with adaptive delay and facilitating neural dynamics. 2987-2994
Alimed Celecia Ramos, Rene Gonzalez Hernandez, Marley M. B. R. Vellasco, Pedro C. G. da S. Vellasco:
Ensemble of classifiers applied to motor imagery task classification for BCI applications. 2995-3002
Ching-Yu Chiu, Avinash Kumar Singh, Yu-Kai Wang, Jung-Tai King, Chin-Teng Lin:
A wireless steady state visually evoked potential-based BCI eating assistive system. 3003-3007
Mantas Mikaitis, David R. Lester:
Brewing the first ever automatic memory management utility for SpiNNaker: Real-time garbage collection for STDP simulations. 3008-3015
Eduardo Carvalho, Bruno V. Ferreira, Jair S. Ferreira Jr., Cleidson R. B. de Souza, Hanna V. Carvalho, Yoshihiko Suhara, Alex Sandy Pentland, Gustavo Pessin:
Exploiting the use of recurrent neural networks for driver behavior profiling. 3016-3021
Stuart McIlroy, Yoshimasa Kubo, Thomas P. Trappenberg, James Toguri, Christian Lehmann:
In vivo classification of inflammation in blood vessels with convolutional neural networks. 3022-3027
Xiao Bao, Tian Gao, Jun Du, Li-Rong Dai:
An investigation of high-resolution modeling units of deep neural networks for acoustic scene classification. 3028-3035
C. Vishnu, Dinesh Singh, C. Krishna Mohan, Sobhan Babu:
Detection of motorcyclists without helmet in videos using convolutional neural network. 3036-3041
Manali Naik, V. Srinivasa Chakravarthy:
A comparative study of complexity of handwritten Bharati characters with that of major Indian scripts. 3050-3057
Paul R. McWhirter, Iain A. Steele, Dhiya Al-Jumeily, Abir Hussain, Marley M. B. R. Vellasco:
The classification of periodic light curves from non-survey optimized observational data through automated extraction of phase-based visual features. 3058-3065
Wen-Bin Liang, Chang-Dong Wang, Jian-Huang Lai:
Weighted numerical and categorical attribute clustering in data streams. 3066-3072
Hoon Chung, Yoo Rhee Oh, Sung Joo Lee, Jeon Gue Park:
Phonetic state relation graph regularized deep neural network for robust acoustic model. 3081-3085
Heinrich Dinkel, Yanmin Qian, Kai Yu:
Small-footprint convolutional neural network for spoofing detection. 3086-3091
Mario Malcangi, Hao Quan, Philip Grew:
Biomorphic modeling of phoneme identification and classification based on an evolving fuzzy-neural network: From hardcomputing to softcomputing. 3092-3097
Myung Seok Shim, Peng Li:
Biologically inspired reinforcement learning for mobile robot collision avoidance. 3098-3105
A. Ashutosh, R. Savitha, S. Suresh:
Comprehensive study of features for subject-independent emotion recognition. 3114-3121
Catherine Cheung, Julio J. Valdés, Alejandro Lehman Rubio:
Helicopter load signal and fatigue life estimation using low dimensional spaces. 3122-3129
Shuwei Huo, Yuan Zhou, Sun-Yuan Kung:
Semi-supervised saliency classifier based on a linear feedback control system model. 3130-3137
Hirokazu Madokoro, Kazuhito Sato, Kazuhisa Nakasho, Nobuhiro Shimoi:
Adaptive learning based driving episode description on category maps. 3138-3145
Wenjun Huang, Ruimin Hu, Chao Liang, Weijian Ruan, Bo Luo:
Structural superpixel descriptor for visual tracking. 3146-3152
Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran:
Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compression. 3153-3160
Dmitry Kangin, Garik Markarian:
Multi-Bernoulli filter for group object tracking and its Gaussian-Wishart implementation. 3161-3168
Li Wang, Xiaoliang Xie, Gui-Bin Bian, Zeng-Guang Hou, Xiao-Ran Cheng, Pusit Prasong:
Guide-wire detection using region proposal network for X-ray image-guided navigation. 3169-3175
Frank Z. Xing, Erik Cambria, Xiaomei Zou:
Predicting evolving chaotic time series with fuzzy neural networks. 3176-3183

Henrique dos Santos Passos, Felipe Gustavo Silva Teodoro, Bruno Matarazzo Duru, Edenilton Lima de Oliveira, Sarajane Marques Peres, Clodoaldo Ap. M. Lima:
Symbolic representations of time series applied to biometric recognition based on ECG signals. 3199-3207
Yuxiang Bao, Hua Xu, Fei Jia, Xiaoli Bai:
Aspect-based sentiment analysis using ABPCS model and SVMPperf in Chinese reviews. 3208-3215
Qian Zuo, Chang-Dong Wang, Jian-Huang Lai:
Text clustering using enhanced PLSA with word correlation. 3216-3223
Chinmay Shah, Mehdi Abolhassani, Heidar Malki:
Fuzzy controlled VSC of battery storage system for seamless transition of microgrid between grid-tied and islanded mode. 3224-3227
Thorsten Vogt, Daniel Weber, Oliver Wallscheid, Joachim Böcker:
Prediction of residual power peaks in industrial microgrids using artificial neural networks. 3228-3235
Tayana Moreira, D. N. Brandao, D. B. Haddad, M. B. Ceddia, E. F. M. Pinheiro, R. F. Oliveira:
A first approach using neural network to estimating soil bulk density of Urucu basin in Central Amazon-Brazil. 3236-3239
Ana Rocío Cárdenas Maita, Marcelo Fantinato, Sarajane Marques Peres, Lucinéia Heloisa Thom, Patrick C. K. Hung:
Mining unstructured processes: An exploratory study on a distance learning domain. 3240-3247
Mototaka Yoshioka, Souksakhone Bounyong:
Regression-forests-based estimation of blood pressure using the pulse transit time obtained by facial photoplethysmogram. 3248-3253
Konstantinos Eftaxias, Clive Cheong Took, Bruno Venturini, David Arscott:
Constrained LMS for dynamic flow networks. 3254-3258
Hui Li, Dechang Pi, Yinghong Liang, Chuanming Chen, Yongzhi Liu:
Integrative computing method for the prediction of zinc-binding sites in proteins. 3259-3264
Jackson Cunha Cassimiro, André Macedo Santana, Pedro de A. Santos Neto, Ricardo Lira Rabelo:
Investigating the effects of class imbalance in learning the claim authorization process in the Brazilian health care market. 3265-3272
Yinghong Liang, Hongye Tan, Hui Li, Zhigang Wang, Wenming Gui:
A language-independent hybrid approach for multi-word expression extraction. 3273-3279

R. Krishnan, S. Jagannathan, V. A. Samaranayake:
Deep learning inspired prognostics scheme for applications generating big data. 3296-3302
Komla A. Folly, Paul K. Olulope, Ganesh K. Venayagamoorthy:
Critical clearing time prediction using recurrent neural networks. 3303-3309
L. Vidyaratne, Mahbubul Alam, J. K. Anderson, Khan M. Iftekharuddin:
Constrained versus unconstrained learning in generalized recurrent network for image processing. 3310-3317
Chunni Zhong, Chaomin Luo, Zhenzhong Chu, Wenyang Gan:
A continuous hopfield neural network based on dynamic step for the traveling salesman problem. 3318-3323
Emanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza:
Acoustic novelty detection with adversarial autoencoders. 3324-3330
Irving M. Rodrigues, Eraldo R. Fernandes, Cícero Nogueira dos Santos:
Domain adaptation of POS taggers without handcrafted features. 3331-3338
Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse:
Scaling up deep reinforcement learning for multi-domain dialogue systems. 3339-3346
Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. 3347-3354
Tao Xie, Yiqiang Chen, Lisha Hu, Chenlong Gao, Chunyu Hu, Jianfei Shen:
A multistage collaborative filtering method for fall detection. 3355-3362
Inés del Campo, M. Victoria Martínez, Flavia Orosa, Javier Echanobe, Estibaliz Asua, Koldo Basterretxea:
Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents. 3363-3370
Abdullah M. Zyarah, Dhireesha Kudithipudi:
Extreme learning machine as a generalizable classification engine. 3371-3376
Iroshani Jayawardene, Ganesh K. Venayagamoorthy:
Cellular computational extreme learning machine network based frequency predictions in a power system. 3377-3384
Jade Hind, Abir Jaafar Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Casimiro Aday Curbelo Montañez, Paulo J. G. Lisboa:
A robust method for the interpretation of genomic data. 3385-3390
Tara Eicher, Kaushik Sinha:
A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome. 3391-3398
Ricardo de Azambuja, Frederico B. Klein, Samantha V. Adams, Martin F. Stoelen, Angelo Cangelosi:
Short-term plasticity in a liquid state machine biomimetic robot arm controller. 3399-3408
Amirali Amirsoleimani, Majid Ahmadi, Arash Ahmadi:
STDP-based unsupervised learning of memristive spiking neural network by Morris-Lecar model. 3409-3414
Abhinav Parihar, Nikhil Shukla, Matthew Jerry, Suman Datta, Arijit Raychowdhury:
Computational paradigms using oscillatory networks based on state-transition devices. 3415-3422
Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim:
A randomized neural network for data streams. 3423-3430
Aleksander Klibisz, Grant Bruer, James S. Plank, Catherine D. Schuman:
Structure-based fitness prediction for the variable-structure DANNA neuromorphic architecture. 3431-3438
Jialing Li, Chenyuan Zhao, Kian Hamedani, Yang Yi:
Analog hardware implementation of spike-based delayed feedback reservoir computing system. 3439-3446
Verónica Bolón-Canedo, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Amparo Alonso-Betanzos:
Paving the way for providing teaching feedback in automatic evaluation of open response assignments. 3447-3453
Tushar Ojha, Gregory L. Heileman, Manel Martínez-Ramón, Ahmad Slim:
Prediction of graduation delay based on student performance. 3454-3460
Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Convolutional gated recurrent neural network incorporating spatial features for audio tagging. 3461-3466
Romain Sabathe, Eduardo Coutinho, Björn W. Schuller:
Deep recurrent music writer: Memory-enhanced variational autoencoder-based musical score composition and an objective measure. 3467-3474
Bhiksha Raj, Anurag Kumar:
Audio event and scene recognition: A unified approach using strongly and weakly labeled data. 3475-3482
Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini:
On the use of deep recurrent neural networks for detecting audio spoofing attacks. 3483-3490
Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe:
Learning from semantically dependent multi-tasks. 3498-3505
Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang:
Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM. 3506-3513
Tuan Anh Le, Atilim Günes Baydin, Robert Zinkov, Frank D. Wood:
Using synthetic data to train neural networks is model-based reasoning. 3514-3521
Xinyu Wu, Vishal Saxena:
Enabling bio-plausible multi-level STDP using CMOS neurons with dendrites and bistable RRAMs. 3522-3526
Raqibul Hasan, Tarek M. Taha, Chris Yakopcic:
On-chip training of memristor based deep neural networks. 3527-3534
Hiram Ponce, María de Lourdes Martínez-Villaseñor:
Interpretability of artificial hydrocarbon networks for breast cancer classification. 3535-3542
Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Scott Douglass:
Cognitive domain ontologies on the TrueNorth neurosynaptic system. 3543-3550
Bryan P. Tripp:
Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks. 3551-3560
Pawel Andrzej Herman, Simon Benjaminsson, Anders Lansner:
Odor recognition in an attractor network model of the mammalian olfactory cortex. 3561-3568
Xinyue Liu, Xiangnan Kong, Philip S. Yu:
Collective discovery of brain networks with unknown groups. 3569-3576
Pramod S. Kaushik, Maxime Carrere, Frédéric Alexandre, Surampudi Bapi Raju:
A biologically inspired neuronal model of reward prediction error computation. 3577-3584
Hengyue Pan, Hui Jiang:
A fast method for saliency detection by back-propagating a convolutional neural network and clamping its partial outputs. 3585-3592
Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates:
Identifying spatial relations in images using convolutional neural networks. 3593-3600
Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha:
Convolutional sparse coding on neurosynaptic cognitive system. 3609-3616
Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata:
Toward abstraction from multi-modal data: Empirical studies on multiple time-scale recurrent models. 3625-3632

Tong Zhao, Julian J. McAuley, Mengya Li, Irwin King:
Improving recommendation accuracy using networks of substitutable and complementary products. 3649-3655
Angshul Majumdar, Anant Jain:
Cold-start, warm-start and everything in between: An autoencoder based approach to recommendation. 3656-3663
Chul Sung, Chunhui Y. Higgins, Bo Zhang, Yoonsuck Choe:
Evaluating deep learning in chum prediction for everything-as-a-service in the cloud. 3664-3669
Tong Zhao, Mandy Hu, Razieh Rahimi, Irwin King:
It's about time! Modeling customer behaviors as the secretary problem in daily deal websites. 3670-3679
Fabio Massimo Zanzotto, Lorenzo Ferrone:
Can we explain natural language inference decisions taken with neural networks? Inference rules in distributed representations. 3680-3687
Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Julio Cezar Silveira Jacques, Meysam Madadi, Xavier Baró, Stéphane Ayache, Evelyne Viegas, Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier:
Design of an explainable machine learning challenge for video interviews. 3688-3695
Yuan Shen, Peter Tiño, Krasimira Tsaneva-Atanasova:
Classification of sparsely and irregularly sampled time series: A learning in model space approach. 3696-3703
Andreas C. Neocleous, Costas Neocleous, Christos N. Schizas, Michael Biehl, Nicolai Petkov:
Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization. 3704-3708
Farnood Merrikh-Bayat, Xinjie Guo, Dmitri B. Strukov:
Exponential-weight multilayer perceptron. 3709-3715
Taesik Na, Jong Hwan Ko, Jaeha Kung, Saibal Mukhopadhyay:
On-chip training of recurrent neural networks with limited numerical precision. 3716-3723
Stanislaw Wozniak, Angeliki Pantazi, Yusuf Leblebici, Evangelos Eleftheriou:
Neuromorphic system with phase-change synapses for pattern learning and feature extraction. 3724-3732
Kan Li, José C. Príncipe:
Flight dynamics modeling and recognition using finite state machine for automatic insect recognition. 3733-3740
Weite Li, Peifeng Liang, Xin Yuan, Jinglu Hu:
Non-local information for a mixture of multiple linear classifiers. 3741-3746
Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu:
A mixture of multiple linear classifiers with sample weight and manifold regularization. 3747-3752
Bart Kosko:
Generalized mixture representations and combinations for additive fuzzy systems. 3761-3768
Dennis Forster, Jörg Lücke:
Truncated variational EM for semi-supervised neural simpletrons. 3769-3776
Yaqing Wang, James T. Kwok, Quanming Yao, Lionel M. Ni:
Zero-shot learning with a partial set of observed attributes. 3777-3784
Alex Fedorov, Jeremy Johnson, Eswar Damaraju, Alexei Ozerin, Vince D. Calhoun, Sergey M. Plis:
End-to-end learning of brain tissue segmentation from imperfect labeling. 3785-3792
Masato Ishii, Atsushi Sato:
Joint optimization of feature transform and instance weighting for domain adaptation. 3793-3799
Nicolangelo Iannella, Thomas Launey:
Synaptic efficacy mosaics and the impact of morphology. 3800-3805
Mikhail V. Kiselev:
A synaptic plasticity rule providing a unified approach to supervised and unsupervised learning. 3806-3813
Daksha Yadav, Naman Kohli, Shruti Nagpal, Maneet Singh, Prateekshit Pandey, Mayank Vatsa, Richa Singh, Afzel Noore, Gokulraj Prabhakaran, Harsh Mahajan:
Region-specific fMRI dictionary for decoding face verification in humans. 3814-3821
Md. Zahangir Alom, Tarek M. Taha:
Network intrusion detection for cyber security on neuromorphic computing system. 3830-3837
Bojan Kolosnjaji, Ghadir Eraisha, George D. Webster, Apostolis Zarras, Claudia Eckert:
Empowering convolutional networks for malware classification and analysis. 3838-3845
Mahmood Yousefi-Azar, Vijay Varadharajan, Len Hamey, Udaya Kiran Tupakula:
Autoencoder-based feature learning for cyber security applications. 3854-3861
Hongmei He, Tim Watson, Carsten Maple, Jörn Mehnen, Ashutosh Tiwari:
A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection. 3862-3869
Max Vladymyrov, Miguel Á. Carreira-Perpiñán:
Fast, accurate spectral clustering using locally linear landmarks. 3870-3879
Di Yao, Chao Zhang, Zhihua Zhu, Jian-Hui Huang, Jingping Bi:
Trajectory clustering via deep representation learning. 3880-3887
Guiqin Yuan, Bo Li, Yiyang Yao, Simin Zhang:
A deep learning enabled subspace spectral ensemble clustering approach for web anomaly detection. 3896-3903
Antonio Robles-Kelly, Ran Wei:
A spectral clustering approach for online and streaming applications. 3904-3911
Nikita Agarwal, Neil Mehta, Alice C. Parker, Karam Ashouri:
C. elegans neuromorphic neural network exhibiting undulating locomotion. 3912-3921
Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha:
Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system. 3922-3929
Miguel Angelo de Abreu de Sousa, Emilio Del-Moral-Hernandez:
An FPGA distributed implementation model for embedded SOM with on-line learning. 3930-3937
Rohit Shukla, Erik Jorgensen, Mikko H. Lipasti:
Evaluating hopfield-network-based linear solvers for hardware constrained neural substrates. 3938-3945
Pezhman Mamdouh, Alice C. Parker:
A power-efficient biomimetic intra-branch dendritic adder. 3946-3952
B. Keshavarz Hedayati, Nikitas J. Dimopoulos:
Sensitivity and similarity regularization in dynamic selection of ensembles of neural networks. 3953-3958
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. 3959-3966
Antonino Feitosa Neto, Anne M. P. Canuto, João C. Xavier, Cephas A. Barreto:
A multi-agent metaheuristic hybridization to the automatic design of ensemble systems. 3967-3974
Valerio Grossi, Alessandro Sperduti:
A kernel-based ensemble classifier for evolving stream of trees with double concept drifting reaction. 3975-3982
Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford:
A streaming ensemble classifier with multi-class imbalance learning for activity recognition. 3983-3990
Ajin George Joseph, Shalabh Bhatnagar:
Bounds for off-policy prediction in reinforcement learning. 3991-3997
Minwoo Lee, Charles W. Anderson:
Can a reinforcement learning agent practice before it starts learning? 4006-4013
Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang:
A sandpile model for reliable actor-critic reinforcement learning. 4014-4021
N. Vignesh, S. Jagannathan:
Online reinforcement with exploration for distributed control. 4022-4027
David Vengerov:
Dynamic adaptation of user migration policies in distributed virtual environments. 4028-4035
Daniel Gutierrez-Galan, Juan Pedro Dominguez-Morales, Lourdes Miro-Amarante, Francisco Gomez-Rodriguez, M. Domínguez-Morales, Manuel Rivas Pérez, Angel Jiménez-Fernandez, Alejandro Linares-Barranco:
Semi-wildlife gait patterns classification using statistical methods and Artificial Neural Networks. 4036-4043
Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin:
Improving point-based AIS trajectory classification with partition-wise gated recurrent units. 4044-4051
Jiqian Li, Yan Wu, Junqiao Zhao, Linting Guan, Chen Ye, Tao Yang:
Pedestrian detection with dilated convolution, region proposal network and boosted decision trees. 4052-4057
Zhiqiang Wan, Xuemin Hu, Haibo He, Yi Guo:
A learning based approach for social force model parameter estimation. 4058-4064
Diego Guarnieri Correa, Fabrício Enembreck, Carlos N. Silla:
An investigation of the hoeffding adaptive tree for the problem of network intrusion detection. 4065-4072
Kristina Vassiljeva, Aleksei Tepljakov, Eduard Petlenkov, Eduard Netsajev:
Computational intelligence approach for estimation of vehicle insurance risk level. 4073-4078
Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung:
A compressive multi-kernel method for privacy-preserving machine learning. 4079-4086
Tatiana Tambouratzis, Nikos Hatziefthimiou:
How systematic is the environmental sustainability index 2002 as a tool for grouping countries in terms of their environmental sustainability? 4087-4094
Stjepan Picek, Annelie Heuser, Alan Jovic, Simone A. Ludwig, Sylvain Guilley, Domagoj Jakobovic, Nele Mentens:
Side-channel analysis and machine learning: A practical perspective. 4095-4102
Parisa Rastin, Basarab Matei, Guénaël Cabanes, Ibtissame El Baghdadi:
Signal-based autonomous clustering for relational data. 4103-4110
Antoine Lachaud, Nistor Grozavu, Basarab Matei, Younès Bennani:
Collaborative clustering between different topological partitions. 4111-4117
Bruno Magalhães Nogueira, Yuri Karan Benevides Tomas, Ricardo Marcondes Marcacini:
Integrating distance metric learning and cluster-level constraints in semi-supervised clustering. 4118-4125
Jérémie Sublime, Basarab Matei, Pierre-Alexandre Murena:
Analysis of the influence of diversity in collaborative and multi-view clustering. 4126-4133
Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie:
Improving load forecasting based on deep learning and K-shape clustering. 4134-4141
Brian Delhaisse, Domingo Esteban, Leonel Dario Rozo, Darwin G. Caldwell:
Transfer learning of shared latent spaces between robots with similar kinematic structure. 4142-4149
Lakshitha P. Wijesinghe, Marco Antonelli, Jochen Triesch, Bertram E. Shi:
Learning multisensory neural controllers for robot arm tracking. 4150-4157
Arup Kumar Sadhu, Amit Konar, Bonny Banerjee, Atulya K. Nagar:
Multi-robot cooperative planning by consensus Q-learning. 4158-4164
Long Jin, Shuai Li, Xin Luo, Mingsheng Shang:
Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms. 4165-4170
Chelsea Sabo, Esin Yavuz, Alex Cope, Kevin Gumey, Eleni Vasilaki, Thomas Nowotny, James A. R. Marshall:
An inexpensive flying robot design for embodied robotics research. 4171-4178
Mingli Zhang, Christian Desrosiers:
Image completion with global structure and weighted nuclear norm regularization. 4187-4193
Mingze Li, Hasitieer Haerken, Ping Guo, Fuqing Duan, Qian Yin, Xin Zheng:
Two-dimensional spectral image calibration based on feed-forward neural network. 4194-4201
Javier Echanobe, Inés del Campo, M. Victoria Martínez, Koldo Basterretxea:
Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification. 4202-4207
Paul Bustios, Joao Luis Rosa:
Restricted exhaustive search for frequency band selection in motor imagery classification. 4208-4213
Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
Batch reinforcement learning on the industrial benchmark: First experiences. 4214-4221
Oscar Silva, Pascal Sigel, María-José Escobar:
Time delays in a HyperNEAT network to improve gait learning for legged robots. 4222-4228
Lu Dong, Jun Li, Wankou Yang, Changyin Sun:
Robust optimal control for time-delay systems with dynamic uncertainties via ADP. 4229-4235
Ivan Salgado, Manuel Mera, Isaac Chairez:
Active disturbance rejection control based on differential neural networks. 4236-4243
Steve Piche, Jason Grimm:
Gain confidence of a neural network used for model based control. 4244-4251
Md. Ashfaqur Rahman, Yawei Wei, Ganesh Kumar Venayagamoorthy:
Cellular computational generalized neuron network with cooperative PSO for power systems. 4252-4258
Zheng Wang, Irena Koprinska, Mashud Rana:
Solar power prediction using weather type pair patterns. 4259-4266
The-Hien Dang-Ha, Filippo Maria Bianchi, Roland Olsson:
Local short term electricity load forecasting: Automatic approaches. 4267-4274
Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen:
Temporal overdrive recurrent neural network. 4275-4282
Rodrigo Ferreira Berriel, Andre Teixeira Lopes, Alexandre Rodrigues, Flávio Miguel Varejão, Thiago Oliveira-Santos:
Monthly energy consumption forecast: A deep learning approach. 4283-4290
Gustavo G. Colombini, Iuri Bonna M. de Abreu, Ricardo Cerri:
A self-organizing map-based method for multi-label classification. 4291-4298
Jan Lachmair, Thomas Mieth, René Griessl, Jens Hagemeyer, Mario Porrmann:
From CPU to FPGA - Acceleration of self-organizing maps for data mining. 4299-4308
Xiaoyu Wang, Osamu Hasegawa:
Adaptive density estimation based on self-organizing incremental neural network using Gaussian process. 4309-4315
Ranik Guidolini, Alberto F. De Souza, Filipe Wall Mutz, Claudine Badue:
Neural-based model predictive control for tackling steering delays of autonomous cars. 4324-4331
Filipe Wall Mutz, Vinicius Cardoso, Thomas Teixeira, Luan F. R. Jesus, Michael André Golçalves, Ranik Guidolini, Josias Oliveira, Claudine Badue, Alberto Ferreira de Souza:
Following the leader using a tracking system based on pre-trained deep neural networks. 4332-4339
Vegard Edvardsen:
Long-range navigation by path integration and decoding of grid cells in a neural network. 4348-4355
Pengda Qin, Weiran Xu, Jun Guo:
Designing an adaptive attention mechanism for relation classification. 4356-4362
Bonggun Shin, Falgun H. Chokshi, Timothy Lee, Jinho D. Choi:
Classification of radiology reports using neural attention models. 4363-4370
Soheil Keshmiri, Hidenobu Sumioka, Junya Nakanishi, Hiroshi Ishiguro:
Emotional state estimation using a modified gradient-based neural architecture with weighted estimates. 4371-4378
Mansoureh Fahimi Hnazaee, Marc M. Van Hulle:
Typicality effect on N400 ERP in categories despite differences in semantic processing. 4379-4386
Takashi Nakamura, Tricia Adjei, Yousef Alqurashi, David Looney, Mary J. Morrell, Danilo P. Mandic:
Complexity science for sleep stage classification from EEG. 4387-4394
Sou Nobukawa, Teruya Yamanishi, Haruhiko Nishimura, Yuji Wada, Mitsuru Kikuchi, Tetsuya Takahashi:
Temporal-specific roles of fractality in EEG signal of Alzheimer's disease. 4395-4399
Angshul Majumdar, Rabab Kreidieh Ward:
Robust greedy deep dictionary learning for ECG arrhythmia classification. 4400-4407
Trung Duy Pham, Dat Tran, Wanli Ma:
An intelligent learning-based watermarking scheme for outsourced biomedical time series data. 4408-4415
Daniel Morris, Andreas Antoniades, Clive Cheong Took:
On making sense of neural networks in road analysis. 4416-4421
Bisser Raytchev, M. Koujiba, Toru Tamaki, Kazufumi Kaneda:
Grassmann matching kernels for scene representation and recognition. 4422-4428
Balázs Nagy, Csaba Benedek:
3D CNN based phantom object removing from mobile laser scanning data. 4429-4435
Touqeer Ahmad, Pavel Campr, Martin Cadík, George Bebis:
Comparison of semantic segmentation approaches for horizon/sky line detection. 4436-4443
Jason M. Allred, Kaushik Roy:
Convolving over time via recurrent connections for sequential weight sharing in neural networks. 4444-4450
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
Compressing recurrent neural network with tensor train. 4451-4458
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer:
Recurrent neural networks and exponential PAA for virtual marine sensors. 4459-4466
Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry:
Structural adaptation for sparsely connected MLP using Newton's method. 4467-4473
Calin-Adrian Popa:
Global asymptotic stability for matrix-valued recurrent neural networks with time delays. 4474-4481
Ryuji Sato, Shunsuke Aoki, Toshimichi Saito:
Connection sparsity versus orbit stability in dynamic binary neural networks. 4482-4487
Ryota Araki, Hiroyuki Torikai, Takuya Yoshimoto:
A novel gene network model based on nonlinear dynamics of asynchronous cellular automaton. 4488-4495
J. L. Garcia-Lopez, Ivan Salgado, Isaac Chairez:
Two-layer dynamic neural field learning law basec on controlled Lyapunov functions. 4496-4503
Nataliya Sokolovska, Yann Chevaleyre, Karine Clément, Jean-Daniel Zucker:
The fused lasso penalty for learning interpretable medical scoring systems. 4504-4511
Ali Braytee, Wei Liu, Paul J. Kennedy:
Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data. 4512-4519
Beatriz Remeseiro, Ana Maria Mendonça, Aurélio J. C. Campilho:
Objective quality assessment of retinal images based on texture features. 4520-4527
Vitoantonio Bevilacqua, Marco Riezzo, Antonio Brunetti, Francesco Russo, Benedetta D'Attoma, Giuseppe Riezzo:
Analysis and optimization of the 13C octanoic acid breath test. 4528-4533
Shems Bertegi, Kirmene Marzouki:
Microcalcification detection using Self Organizing Neuro Glia Network classifier. 4534-4540
Prabhash Kumarasinghe, Sundaram Suresh, Vigneshwaran Subbaraju:
MiPAL: Multiple-instance passive aggressive learning for identification of attention deficit hyperactive disorder from fMRI. 4541-4548
Vasiliki-Maria Katsageorgiou, Matteo Zanotto, Valter Tucci, Vittorio Murino, Diego Sona:
Data-driven study of mouse sleep-stages using Restricted Boltzmann Machines. 4549-4556
Abhronil Sengupta, Aayush Ankit, Kaushik Roy:
Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). 4557-4563
Shruti Naik, Oota Subbareddy, Arpan Banerjee, Dipanjan Roy, Raju S. Bapi:
Metastability of cortical BOLD signals in maturation and senescence. 4564-4570
Xingquan Zhu, Jose Hurtado, Haicheng Tao:
Localized sampling for hospital re-admission prediction with imbalanced sample distributions. 4571-4578
Eva Tuba, Milan Tuba, Raka Jovanovic:
An algorithm for automated segmentation for bleeding detection in endoscopic images. 4579-4586
Luis A. Souto Maior Neto, Robson Pequeno, Carlos de Almeida, Katia Galdino, Fabricia Martins, Antonio V. de Moura:
A method for intelligent support to medical diagnosis in emergency cardiac care. 4587-4593
Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu:
Latent topic ensemble learning for hospital readmission cost reduction. 4594-4601
Heng Liu, Gregory Ditzler:
A fast information-theoretic approximation of joint mutual information feature selection. 4610-4617
Jeff Heaton, Steven McElwee, James B. Fraley, James Cannady:
Early stabilizing feature importance for TensorFlow deep neural networks. 4618-4624
Mostafa Parchami, Saman Bashbaghi, Eric Granger:
Video-based face recognition using ensemble of haar-like deep convolutional neural networks. 4625-4632
Kurtis D. Cantley, Robert C. Ivans, Anand Subramaniam, Eric M. Vogel:
Spatio-temporal pattern recognition in neural circuits with memory-transistor-driven memristive synapses. 4633-4640
Jérémie Cabessa, Paolo Masulli:
Emulation of finite state automata with networks of synfire rings. 4641-4648
A. Shukla, V. Kumar, U. Ganguly:
A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning. 4657-4664



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